Dear all,
I know this topic has already been covered in other posts (at least the for
loop Vs apply family of function), but I am looking for fresh / up-to-date
opinion and feedback on those 3 methods to run unavoidable loops in R. I
realise that it may be too general question for many, so any feedback
appreciated.
1. apply Vs for loop
>> Seems apply is (was?) supposed to be faster than using for loop, some posts
>> mention that it is now more of a cosmetic function (wrapper for "for loop")
>> making the code essentially neater. Any thoughts/opinion/experience on this
>> more than welcome.
>> Running the very simple function attached, I end up with for loop quicker
>> than apply function....but may be do I not use the apply function properly?
2. foreach (REvolution enhancement)
>> seems the rationale of this function is to facilitate the use of
>> multithreading to enhance the for loop speed. Given a moderate time
>> sensitivity (process must run fast but a gain of 10-20% speed seen as
>> probably not justifying the additional learning + dependence from yet
>> another package), is it really worth going down that route?
Has anyone extensive experience with this matter (using foreach to boost for
loop running time)? any feedback welcome.
Have all a nice day!
Rgds,
Julien
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